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criteria *The candidate will be entrusted with key responsibilities: The Postdoc will apply data-driven techniques like autoencoders to extract coherent structures from DNS data. Symbolic regression will be
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psychological theory, cultural history, and interdisciplinary research. Good academic writing and communication skills in English. Desirable skills Knowledge of machine learning or advanced NLP techniques (e.g
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studies, and/or video games Personal Qualities • Ability to work in an interdisciplinary team • Autonomy, rigor, and scientific curiosity • Creativity and initiative • Strong communication skills Education
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species interactions, ecological responses, and future conditions). EcoDisco aims to fill this gap by developing a dynamic, discounting-based framework that: ● embeds economic discounting theory
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reaction • Collaborate closely with the project theorists to interpret experimental results within recent theories related to charge order phenomena. The recruited researcher will be in charge with
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ensembles, in collaboration with theory groups from QuRIOUS network. Achieving this goal would represent the first demonstration of a continuous superradiant laser on a clock transition. The doctoral
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candidate will join the SIGNAL team under the supervision of Dr. Yoan Coudert. Research topic : The recruited postdoc will investigate the genetic mechanisms underlying the pre-patterning and development at a
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in biomedicine and catalysis. Thanks to the synergy between disciplines as diverse as synthesis, spectroscopy and theory, the PhD students will be able to develop an understanding of chirality
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in biomedicine and catalysis. Thanks to the synergy between disciplines as diverse as synthesis, spectroscopy and theory, the PhD students will be able to develop an understanding of chirality
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 22 days ago
: rigorous, organized, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus